75 computer-science-programming-languages-"the"-"UCL"-"U"-"O.P" positions at Nature Careers in Denmark
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general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education
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The successful candidate will be expected to lead an ambitious, and internationally competitive research program that advances the frontiers of single-cell technologies, with a focus on disease biology and the
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Are you interested in X-ray imaging and biomineralization and in contributing to an international interdisciplinary Human Frontier Science Program funded project on skeletal adaptations in
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supervision experience at the BSc and MSc level Interest and experience in developing competitive national and international research applications Experience in programming languages (e.g. Python/R) and
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study programs in Biology with about 400 students enrolled, as well as a PhD program. The Department offers a vibrant and informal research environment with a long-standing tradition for collaboration
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academic staff, 60 postdocs, 40 PhD students, and 60 technical staff. The Department hosts BSc and MSc study programs in Biology with about 400 students enrolled, as well as a PhD program. The Department
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Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in
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Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data from an AI-Camera ...
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Quantitative Genetics and Genomics programme. The position is
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
. Responsibilities and qualifications Your overall focus will be to establish and lead a strong research program in the field of synthetic biology and metabolic engineering of non-model microorganisms, with the aim
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient